Using expansive grasses for monitoring heavy metal pollution in the vicinity of roads
Language English Country Great Britain, England Media print-electronic
Document type Journal Article
PubMed
28582678
DOI
10.1016/j.envpol.2017.05.069
PII: S0269-7491(16)31142-3
Knihovny.cz E-resources
- MeSH
- Transportation MeSH
- Environmental Pollutants analysis MeSH
- Poaceae chemistry MeSH
- Environmental Monitoring methods MeSH
- Metals, Heavy analysis MeSH
- Environmental Pollution analysis statistics & numerical data MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- Environmental Pollutants MeSH
- Metals, Heavy MeSH
We propose a method for monitoring heavy metal deposition in the vicinity of roads using the leaf surfaces of two expansive grass species which are greatly abundant. A principle of the proposed procedure is to minimize the number of operations in collecting and preparing samples for analysis. The monitored elements are extracted from the leaf surfaces using dilute nitric acid directly in the sample-collection bottle. The ensuing steps, then, are only to filter the extraction solution and the elemental analysis itself. The verification results indicate that the selected grasses Calamagrostis epigejos and Arrhenatherum elatius are well suited to the proposed procedure. Selected heavy metals (Zn, Cu, Pb, Ni, Cr, and Cd) in concentrations appropriate for direct determination using methods of elemental analysis can be extracted from the surface of leaves of these species collected in the vicinity of roads with medium traffic loads. Comparing the two species showed that each had a different relationship between the amounts of deposited heavy metals and distance from the road. This disparity can be explained by specific morphological properties of the two species' leaf surfaces. Due to the abundant occurrence of the two species and the method's general simplicity and ready availability, we regard the proposed approach to constitute a broadly usable and repeatable one for producing reproducible results.
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